I will llm fine tuning dataset preparation annotation

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feichen314
F
feichen314
Feichen

About this gig

I prepare and annotate high-quality datasets for LLM fine tuning: cleaning, formatting to JSONL, fact-opinion labeling, and QA validation. Basic covers small JSONL formatting, Standard adds cleaning and labeling, Premium delivers the full pipeline with QA.

Get to know Feichen

Feichen

AI ML Engineer, LLM Fine tuning and Private Deployment Specialist

  • FromChina
  • Member sinceAug 2026
  • Avg. response time1 hour
  • Languages

    Chinese
AI/ML engineer specializing in LLM fine-tuning (LoRA/QLoRA) and private model deployment. Built a fact/opinion classification model via Qwen3-14B-4bit LoRA, achieving 99.7% accuracy on a 300-sample benchmark. I run a private 4-node Mac Mini M4 cluster - fine-tune and deploy your model locally, keeping your data 100% in your own infrastructure. Services: Custom LLM fine-tuning (LoRA/QLoRA), private/local model deployment & API serving (FastAPI), RAG pipelines, training data preparation & evaluation design. Fast, clear communication, English & Chinese.

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